Dan Guo

1.1k total citations · 1 hit paper
8 papers, 781 citations indexed

About

Dan Guo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dan Guo has authored 8 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dan Guo's work include Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Evolutionary Algorithms and Applications (2 papers). Dan Guo is often cited by papers focused on Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Evolutionary Algorithms and Applications (2 papers). Dan Guo collaborates with scholars based in China, United Kingdom and Singapore. Dan Guo's co-authors include Yaochu Jin, Kaisa Miettinen, Tinkle Chugh, Handing Wang, Tianyou Chai, Jinliang Ding, Yong Pan, Yun-Lin Wang, Beilei Yuan and Huazhong Zhang and has published in prestigious journals such as Molecules, IEEE Transactions on Cybernetics and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Dan Guo

7 papers receiving 766 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Data-Driven Evolutionary Optimization: An Overview and Case Studies

2018 457 citations Yaochu Jin, Handing Wang et al. IEEE Transactions on Evolutionary Computation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dan Guo China	5	540	527	131	64	54	8	781
Gregorio Toscano‐Pulido Mexico	14	508 0.9×	428 0.8×	92 0.7×	57 0.9×	57 1.1×	41	718
Saúl Zapotecas–Martínez Mexico	16	611 1.1×	551 1.0×	118 0.9×	33 0.5×	67 1.2×	52	827
Dudy Lim Singapore	9	555 1.0×	536 1.0×	104 0.8×	62 1.0×	33 0.6×	10	814
Adriana Lara Mexico	11	660 1.2×	573 1.1×	112 0.9×	40 0.6×	42 0.8×	28	854
Md Asafuddoula Australia	11	555 1.0×	564 1.1×	149 1.1×	36 0.6×	43 0.8×	18	798
Xilu Wang Germany	9	260 0.5×	300 0.6×	80 0.6×	41 0.6×	73 1.4×	24	587
Ricardo Landa Becerra Mexico	12	519 1.0×	639 1.2×	57 0.4×	83 1.3×	76 1.4×	28	907
Tobias Wagner Germany	12	428 0.8×	305 0.6×	183 1.4×	80 1.3×	32 0.6×	31	657
Lie Meng Pang China	9	267 0.5×	277 0.5×	69 0.5×	37 0.6×	42 0.8×	46	497

Countries citing papers authored by Dan Guo

Since Specialization

Citations

This map shows the geographic impact of Dan Guo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Guo more than expected).

Fields of papers citing papers by Dan Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Guo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dan Guo. The network helps show where Dan Guo may publish in the future.

Co-authorship network of co-authors of Dan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Guo. A scholar is included among the top collaborators of Dan Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Guo. Dan Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Guo, Dan, et al.. (2024). Semantic Intelligent Understanding and Knowledge Generation of Target Features for SAR Images. 21–25. 1 indexed citations

2.

Wang, Yun-Lin, Pengfei Wang, Huazhong Zhang, et al.. (2022). Machine Learning for Evaluating the Cytotoxicity of Mixtures of Nano-TiO2 and Heavy Metals: QSAR Model Apply Random Forest Algorithm after Clustering Analysis. Molecules. 27(18). 6125–6125. 15 indexed citations

3.

Guo, Dan, et al.. (2021). Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network. IEEE Transactions on Systems Man and Cybernetics Systems. 52(4). 2084–2097. 121 indexed citations

4.

Guo, Dan, et al.. (2021). Heterogeneous ensemble spectral classifiers for hyperspectral images. Procedia Computer Science. 187. 229–234.

5.

Guo, Dan, et al.. (2019). Prediction method for energy consumption per ton of fused magnesium furnaces using data driven and mechanism model. Control Theory and Technology. 17(1). 24–36. 2 indexed citations

6.

Guo, Dan, Yaochu Jin, Jinliang Ding, & Tianyou Chai. (2018). Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems. IEEE Transactions on Cybernetics. 49(3). 1012–1025. 178 indexed citations

7.

Jin, Yaochu, Handing Wang, Tinkle Chugh, Dan Guo, & Kaisa Miettinen. (2018). Data-Driven Evolutionary Optimization: An Overview and Case Studies. IEEE Transactions on Evolutionary Computation. 23(3). 442–458. 457 indexed citations breakdown →

8.

Ding, Huijun, Tan Lee, Ing Yann Soon, et al.. (2015). Objective measures for quality assessment of noise-suppressed speech. Speech Communication. 71. 62–73. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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